Physiol. Genomics Watch the video to see how APS reaches out to developing nations.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

Physiol. Genomics 15: 223-227, 2003. First published September 9, 2003; doi:10.1152/physiolgenomics.00095.2003
1094-8341/03 $5.00
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Data Supplement
Right arrow All Versions of this Article:
15/3/223    most recent
00095.2003v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (6)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bortoluzzi, S.
Right arrow Articles by Danieli, G. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Bortoluzzi, S.
Right arrow Articles by Danieli, G. A.
Received 10 June 2003; accepted in final form 3 September 2003.
Physiological Genomics 15:223-227 (2003)
1094-8341/03 $5.00 © 2003 American Physiological Society

Disease genes and intracellular protein networks

S. Bortoluzzi1, C. Romualdi2, A. Bisognin1 and G. A. Danieli1

1 Department of Biology
2 Ricerche Interdipartimentale Biotecnologie Innovative (CRIBI), University of Padua, Padua I-35131, Italy

By a computational approach we reconstructed genomic transcriptional profiles of 19 different adult human tissues, based on information on activity of 27,924 genes obtained from unbiased UniGene cDNA libraries. In each considered tissue, a small number of genes resulted highly expressed or "tissue specific." Distribution of gene expression levels in a tissue appears to follow a power law, thus suggesting a correspondence between transcriptional profile and "scale-free" topology of protein networks. The expression of 737 genes involved in Mendelian diseases was analyzed, compared with a large reference set of known human genes. Disease genes resulted significantly more expressed than expected. The possible correspondence of their products to important nodes of intracellular protein network is suggested. Auto-organization of the protein network, its stability in time in the differentiated state, and relationships with the degree of genetic variability at genome level are discussed.

gene expression; protein network; Mendelian disease




This article has been cited by other articles:


Home page
 Protein Eng Des SelHome page
P. Wong, A. Fritz, and D. Frishman
Designability, aggregation propensity and duplication of disease-associated proteins
Protein Eng. Des. Sel., October 1, 2005; 18(10): 503 - 508.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online
Copyright © 2003 by the American Physiological Society.